Resilience and psychosocial factors in adult with epilepsy: A longitudinal study.

PURPOSE: Resilience is conceptually characterized as a dynamic process encompassing positive adaptation in the context of significant adversity. Our goal was to assess the resilience in people with epilepsy (PWE) and how it impacts longitudinally on psychosocial factors, with a particular focus on the manifestation of stigmatization-related feelings. METHODS: We consecutively enrolled 78 adults PWE (42.5 ± 16.2 years old); among them 36 (46.1 %) were seizure-free. All subjects completed at baseline (T0) the Resilience Scale (RS-14) and questionnaires for the assessment of depressive symptoms, anxiety and quality of life: respectively, Beck Depression Inventory-II (BD-II), Generalized Anxiety Disorder-7 (GAD-7) and QOLIE-31 (Q31). All patients were followed up prospectively and re-evaluated after 6-22 months (T1; mean: 14 ± 8 months; median 14 months); at follow up they also completed the Stigma Scale of Epilepsy (SSE) for the assessment of the stigma associated with epilepsy. We correlated resilience values with all psychosocial scores at T0 and T1. Factors associated with resilient and vulnerable outcomes were identified. Finally, a multiple stepwise regression analysis was applied to identify predictors for resilience and stigma perception. RESULTS: The results showed for the RS-14 score a significant direct correlation with the Q31 (p < 0.001) and an inverse correlation with the depressive and anxiety symptoms at both times (T0 and T1), as evaluated with BDI-II (p < 0.001) and GAD-7 (p < 0.001). Finally, we found a significant inverse correlation between RS-14 at T0 and the levels of stigmatization assessed with SSE at T1 (p =.015). Using a multiple stepwise regression analysis separately for resilience and stigma perception, depressive symptoms turned out as the best predictors for both variables. Finally, considering longitudinal evaluation we did not observe significant changes in depressive and anxious symptoms, despite a significant reduction in the total number of seizures at follow up. CONCLUSIONS: Our study showed that depressive symptoms, anxiety and quality of life were significantly associated with resilience in PwE. Finally, as a novel finding resilience was proved to affect the perception of stigma related to epilepsy more than seizures.

Resilience predicts and modulates anxiety severity in people with epilepsy.

BACKGROUND: Anxiety is one of the most relevant psychiatric comorbidities in people with epilepsy (PwE). The role of resilience (RES) in the development of anxiety is not well understood. We purposed to better characterize RES impact on anxiety severity in PwE. MATERIALS AND METHODS: One hundred and seventy-six PwE underwent online surveys including a collection of socio-demographic, seizure-related, and psychological variables. PwE were grouped according to the data collected; anxiety levels were compared through non-parametric statistics. Hierarchical regression analysis (HRA) and logistic regression were performed to characterize RES contribute in predicting the presence and the severity of anxiety. Mediation/moderation analysis was performed to evaluate causal effects among RES, depression, and anxiety. RESULTS: Anxiety did not differ according to socio-demographic and seizure-related variables, exemption for the presence of drug-related adverse effects. Depression, RES, and sleep quality provided the major contribute on anxiety variance. The addiction of RES level in HRA and logistic regression provided a significant increase of R-squared value (p-value = 0.02) and of area under the curve (p-value = 0.03), respectively. RES modulated depression/anxiety relationship (p-value < 0.001), whereas depression did not mediate RES/anxiety correlation (p-value = 0.68). CONCLUSIONS: We demonstrated that RES is a significant independent predictor of anxiety in PwE and is able to modulate depression impact on anxiety. Moreover, we confirmed the relevance of depression and sleep quality on anxiety severity.

Determinants of medication adherence in people with epilepsy: A multicenter, cross-sectional survey.

OBJECTIVES: Poor medication adherence in people with epilepsy (PwE) increases mortality, hospitalization, and poor quality of life, representing a critical challenge for clinicians. Several demographic, clinical, and neuropsychological factors were singularly found associated with medication adherence in several studies, but the literature lacks a comprehensive study simultaneously assessing all these variables. METHODS: We performed a multicenter and cross-sectional study using online questionnaires with the following clinical scales: Morisky Medication Adherence Scale (MMAS-8), Quality of Life in Epilepsy Inventory 31 (QoLIE-31), Beck Depression Inventory-II (BDI-II), Generalized Anxiety Disorder-7 (GAD-7) and 14-item Resilience scale (RES14) in a population of 200 PwE. We used the ANOVA test and Spearman's correlation to evaluate the relationship between medication adherence and demographic, clinical (seizure frequency, number of anti-seizure medications), and neuropsychological characteristics. We trained separate machine learning models (logistic regression, random forest, support vector machine) to classify patients with medium-high adherence (MMAS-8 ≥ 6) and poor adherence (MMAS-8 < 6) and to identify the main features that influence adherence. RESULTS: Women were more adherent to medication (p-value = 0.035). Morisky Medication Adherence Scale -8 showed a direct correlation with RES14 (p-value = 0.001) and age (p-value = 0.001), while was inversely correlated with BDI-II (p-value = 0.001) and GAD-7 (p-value = 0.001). In our model, the variables mostly predicting treatment adherence were QoLIE-31 subitems, followed by age, resilience, anxiety, years of school, and disease duration. CONCLUSION: Our study confirms that gender, age, and neuropsychological traits are relevant factors in predicting medication adherence to PwE. Furthermore, our data provided the first evidence that machine learning on multidimensional self-report questionnaires could help to develop a decisional support system in outpatient epilepsy clinics.

Vagal nerve stimulation cycles alter EEG connectivity in drug-resistant epileptic patients: A study with graph theory metrics.

OBJECTIVE: Vagal Nerve Stimulation (VNS) is an effective treatment for Drug-Resistant (DR) epilepsy. Albeit the corroborated effectiveness of VNS, little is known about how VNS works. We aim to leverage quantitative Electroencephalography (qEEG) to study how the brain responds to VNS cycles. METHODS: Eighteen subjects with DR epilepsy were enrolled in our study. 64-channel EEG was recorded during VNS stimulation. Periods of stimulation (VNS), preceding (preVNS) and following stimulation (postVNS) were identified via an electrode placed on the stimulator. We used qEEG analysis to assess changes in spectral and network activity that characterize these conditions. Graph theory metrics were used to calculate differences in network connectivity. RESULTS: No differences were found in spectral activity between preVNS, VNS, and postVNS. Graph theory showed consistent changes in network organization expressed by Small World Index (SWI), Betweenness Centrality (BtwC), and Global Efficiency (gE). These changes were most significant in the slow EEG bands. CONCLUSIONS: In DR epilepsy, VNS has a significant effect on brain network activity, as assessed by EEG connectivity, acting on widespread network distribution rather than band-power. SIGNIFICANCE: Our findings support the hypothesis that VNS acts on epilepsy by influencing diffuse network connectivity in the brain.

Lombardy diagnostic and therapeutic network of thrombotic microangiopathy.

BACKGROUND: Thrombotic thrombocytopenic purpura (TTP) is a rare, life-threatening thrombotic microangiopathy (TMA) requiring urgent treatment. Standardization of its diagnosis and optimal management is challenging. This study aimed to evaluate the role of centralized, rapid testing of ADAMTS13 in patients experiencing acute TMAs requiring plasma-exchange (PEX) and to estimate the incidence of TTP in a large Italian Region. METHODS: We perfomed a cohort study in the frame of the project "Set-up of a Lombardy network for the study and treatment of patients undergoing apheresis", including 11 transfusion centers in the Region. Consecutive patients referred from 2014 to 2016 with acute TMAs requiring PEX were enrolled. Centralized ADAMTS13 activity testing was performed at the Milan Hemophilia and Thrombosis Center within 24 h. RESULTS: Forty-three TMA patients (44 events) were enrolled, of whom 35 (81%) had severe ADAMTS13 deficiency. Patients with severe ADAMTS13 deficiency were younger, mainly women, with a higher prevalence of autoimmune disorders and a lower prevalence of cancer. Clinical and laboratory characteristics of patients with and without severe ADAMTS13 deficiency largely overlapped, with a lower platelet count being the only baseline marker that significantly differed between the two patient groups (ADAMTS13 activity < 10% vs ≥ 10%: median difference of -27 × 109/l, 95% CI - 37 to - 3). PEX treatment was initiated in all patients, but soon discontinued in cases without severe ADAMTS13 deficiency. In this group, the mortality rate was higher and no episode exacerbations or relapses within 6 months occured. The estimated average annual incidence of acute acquired TTP events was 1.17 [0.78-1.55] per million people. CONCLUSIONS: Severe ADAMTS13 deficiency distinguished two groups of patients with largely overlapping clinical features but different treatment and disease course. This study provides a feasible model implemented in a large Italian region for the practical clinical approach to TMAs and underlines the importance of urgent ADAMTS13 activity testing for an accurate differential diagnosis and therapeutic approach.

Minimal factor XIII activity level to prevent major spontaneous bleeds.

Essentials A strong association between bleeding severity and FXIII activity level (FXIII:C) was shown. The range 5-30 IU dL-1 of FXIII:C was associated with a high variability of bleeding severity. The PROspective study confirmed the association between FXIII:C activity and bleeding severity. A FXIII: C of 15 IU dL-1 is a proposed target to start prophylaxis for prevention of major bleeding. SUMMARY: Background Congenital factor XIII (FXIII) deficiency is a rare bleeding disorder associated with significant bleeding manifestations. The European Network of Rare Bleeding Disorders (EN-RBD) study, performed from 2007 to 2010, showed a strong association between bleeding severity and FXIII activity in plasma of patients with FXIII deficiency. Among these patients, variable levels of FXIII activity, from undetectable to 30%, were associated with a wide range of bleeding severity. Objectives and patients The present cross-sectional study, in the frame of the PRO-RBDD project, a prospective cohort study, analyzed data of 64 patients with FXIII deficiency and different types of clinical and laboratory severity. Results The results of this analysis confirmed that FXIII coagulant activity in plasma is well associated with clinical severity of patients. In addition, 15 IU dL-1 of FXIII activity was identified to be the level under which the probability of spontaneous major bleeding sharply increases (from 50% for levels of 15 IU dL-1 to more than 90% for levels of 5 IU dL-1 or lower). Conclusion The PRO-RBDD study suggests a FXIII coagulant activity level of 15 IU dL-1 as a target to start prophylaxis in order to prevent major bleedings, such as central nervous system or gastrointestinal tract hemorrhages.

Evaluation of an heterogeneous group of patients with von Willebrand disease using an assay alternative to ristocetin induced platelet agglutination.

BACKGROUND: Diagnosis of von Willebrand disease (VWD) type 2 usually relies on the discrepancy between the von Willebrand factor (VWF) ristocetin cofactor activity (VWF:RCo) and VWF antigen (VWF:Ag). Type 2B patients can be discriminated from other qualitative VWD variants by using ristocetin-induced platelet agglutination (RIPA) test. The major limitation of RIPA is the requirement of fresh blood sample. OBJECTIVES: In this study, we evaluated the VWF gain-of-function mutant GPIb binding (VWF:GPIbM) and VWF:RCo assays to investigate whether the VWF:GPIbM/VWF:RCo ratio was able to identify the type 2B variant among an heterogeneous VWD population, previously characterized following the ISTH-SSC guidelines. PATIENTS/METHODS: Seventy-six VWD patients and 31 healthy subjects were evaluated by using VWF:Ag, VWF:RCo, and VWF:GPIbM assays. RESULTS: The mean (minimum-maximum values) VWF:GPIbM/VWF:RCo ratio was higher in type 2B patients (2.53, 0.84-6.11) than in healthy controls (1.05, 0.87-1.34), type 1 (0.85, 0.51-1.15), 2A (1.20, 0.36-2.82), and 2M (1.07, 0.91-1.38) (P < 0.0001). Type 2B variants were divided into four groups (A, B, C, and D) according to their different multimeric patterns. The mean value of the VWF:GPIbM/VWF:RCo ratio in the four groups showed an increasing trend from group A (1.08) to D (3.69), proportional to the loss of high molecular weight multimers. Among 32 type 2B patients, previously diagnosed with RIPA, 8 (mainly with a type I New York/Malmö phenotype) were not confirmed using the VWF:GPIbM/VWF:RCo ratio. CONCLUSIONS: Whenever the RIPA test is not feasible, the VWF:GPIbM/VWF:RCo ratio might help to identify severe type 2B VWD patients.